@font-face {
  font-family: "Styrene Display";
  src: url("https://www-cdn.anthropic.com/e8f9c8ca51b03efb6315db351446fc972ab15abe/StyreneA-Medium-Web.woff2")
    format("woff2");
  font-weight: 500;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Styrene Display";
  src: url("https://www-cdn.anthropic.com/e8f9c8ca51b03efb6315db351446fc972ab15abe/StyreneA-Medium-Web.woff2")
    format("woff2");
  font-weight: 600;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Styrene";
  src: url("https://www-cdn.anthropic.com/6f87b6d99aefde021ac24f21295bf9e70f71472f/StyreneBLC-Regular.woff2")
    format("woff2");
  font-weight: 400;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Styrene";
  src: url("https://www-cdn.anthropic.com/6f87b6d99aefde021ac24f21295bf9e70f71472f/StyreneBLC-Regular.woff2")
    format("woff2");
  font-weight: 500;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Styrene";
  src: url("https://www-cdn.anthropic.com/3611e9e4aaaf466dbd47e2686f561e7de694cb6c/StyreneBLC-Medium.woff2")
    format("woff2");
  font-weight: 600;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Tiempos";
  src: url("https://www-cdn.anthropic.com/c3e09cefbfeb4e5eaca56b7bc8b9a1aa1aeda025/TiemposText-Regular.woff2")
    format("woff2");
  font-weight: 400;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Tiempos";
  src: url("https://www-cdn.anthropic.com/b198ca4e31a323b2abb84b3eeeb1eed1f471afa0/TiemposText-Medium.woff2")
    format("woff2");
  font-weight: 500;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Tiempos";
  src: url("https://www-cdn.anthropic.com/b198ca4e31a323b2abb84b3eeeb1eed1f471afa0/TiemposText-Medium.woff2")
    format("woff2");
  font-weight: 600;
  font-style: normal;
  font-stretch: normal;
}

@font-face {
  font-family: "Copernicus";
  src: url("https://www-cdn.anthropic.com/db30aec85c7615f4a4d3e23c0c941674ea67f8f5/Copernicus-Book.woff2")
    format("woff2");
  font-weight: 300; /* Assuming 300 is the lightest available weight */
  font-style: normal;
}

/* Color variables copied from https://github.com/anthropics/apps/blob/main/packages/ui/themes/generated/theme-colors.css */
:root {
  --always-white: 0 0% 100%;
  --always-black: 0 0% 0%;
  --constant-book-cloth: 15 55% 80%;
  --constant-clay: 15 60% 85%;
  --constant-kraft: 25 40% 83%;
  --constant-manilla: 40 20% 92%;
  --constant-slate-000: 0 0% 100%;
  --constant-slate-050: 48 33.3% 97.1%;
  --constant-slate-100: 53 28.6% 94.5%;
  --constant-slate-150: 48 25% 92.2%;
  --constant-slate-200: 50 20.7% 88.6%;
  --constant-slate-250: 51 16.5% 84.5%;
  --constant-slate-300: 50 11.5% 79.6%;
  --constant-slate-350: 50 9% 73.7%;
  --constant-slate-400: 49 6.5% 66.9%;
  --constant-slate-450: 48 4.8% 59.2%;
  --constant-slate-500: 53 3.2% 51.4%;
  --constant-slate-550: 51 3.1% 43.7%;
  --constant-slate-600: 48 2.7% 35.9%;
  --constant-slate-650: 48 3.4% 29.2%;
  --constant-slate-700: 60 2.5% 23.3%;
  --constant-slate-750: 60 2.1% 18.4%;
  --constant-slate-800: 60 2.7% 14.5%;
  --constant-slate-850: 30 3.3% 11.8%;
  --constant-slate-900: 30 4% 9.8%;
  --constant-slate-950: 60 2.6% 7.6%;
  --constant-slate-1000: 60 3.4% 5.7%;
}

:root:not(.dark) {
  --accent-brand: 15 63.1% 59.6%;
  --accent-main-000: 15 55.6% 52.4%;
  --accent-main-100: 15 55.6% 52.4%;
  --accent-main-200: 15 63.1% 59.6%;
  --accent-main-900: 0 0% 0%;
  --accent-pro-000: 251 34.2% 33.3%;
  --accent-pro-100: 251 40% 45.1%;
  --accent-pro-200: 251 61% 72.2%;
  --accent-pro-900: 253 33.3% 91.8%;
  --accent-secondary-000: 210 73.7% 40.2%;
  --accent-secondary-100: 210 70.9% 51.6%;
  --accent-secondary-200: 210 70.9% 51.6%;
  --accent-secondary-900: 211 72% 90%;
  --bg-000: 0 0% 100%;
  --bg-100: 48 33.3% 97.1%;
  --bg-200: 53 28.6% 94.5%;
  --bg-300: 48 25% 92.2%;
  --bg-400: 50 20.7% 88.6%;
  --bg-500: 50 20.7% 88.6%;
  --border-100: 30 3.3% 11.8%;
  --border-200: 30 3.3% 11.8%;
  --border-300: 30 3.3% 11.8%;
  --border-400: 30 3.3% 11.8%;
  --danger-000: 0 61.4% 22.4%;
  --danger-100: 0 58.6% 34.1%;
  --danger-200: 0 58.6% 34.1%;
  --danger-900: 0 50% 95%;
  --oncolor-100: 0 0% 100%;
  --oncolor-200: 60 6.7% 97.1%;
  --oncolor-300: 60 6.7% 97.1%;
  --text-000: 60 2.6% 7.6%;
  --text-100: 60 2.6% 7.6%;
  --text-200: 60 2.5% 23.3%;
  --text-300: 60 2.5% 23.3%;
  --text-400: 51 3.1% 43.7%;
  --text-500: 51 3.1% 43.7%;
}

:root.dark {
  --accent-brand: 15 63.1% 59.6%;
  --accent-main-000: 15 55.6% 52.4%;
  --accent-main-100: 15 63.1% 59.6%;
  --accent-main-200: 15 63.1% 59.6%;
  --accent-main-900: 0 0% 0%;
  --accent-pro-000: 251 84.6% 74.5%;
  --accent-pro-100: 251 40.2% 54.1%;
  --accent-pro-200: 251 40% 45.1%;
  --accent-pro-900: 250 25.3% 19.4%;
  --accent-secondary-000: 210 71.1% 62%;
  --accent-secondary-100: 210 70.9% 51.6%;
  --accent-secondary-200: 210 70.9% 51.6%;
  --accent-secondary-900: 210 55.9% 24.6%;
  --bg-000: 60 2.1% 18.4%;
  --bg-100: 60 2.7% 14.5%;
  --bg-200: 30 3.3% 11.8%;
  --bg-300: 60 2.6% 7.6%;
  --bg-400: 60 3.4% 5.7%;
  --bg-500: 60 3.4% 5.7%;
  --border-100: 51 16.5% 84.5%;
  --border-200: 51 16.5% 84.5%;
  --border-300: 51 16.5% 84.5%;
  --border-400: 51 16.5% 84.5%;
  --danger-000: 0 73.1% 66.5%;
  --danger-100: 0 58.6% 34.1%;
  --danger-200: 0 58.6% 34.1%;
  --danger-900: 0 23% 15.6%;
  --oncolor-100: 0 0% 100%;
  --oncolor-200: 60 6.7% 97.1%;
  --oncolor-300: 60 6.7% 97.1%;
  --text-000: 48 33.3% 97.1%;
  --text-100: 48 33.3% 97.1%;
  --text-200: 50 9% 73.7%;
  --text-300: 50 9% 73.7%;
  --text-400: 48 4.8% 59.2%;
  --text-500: 48 4.8% 59.2%;
}

#home-header {
  font-family: "Copernicus", sans-serif;
  font-weight: 300 !important;
  font-size: 50px;
  line-height: 1.2;
  margin-bottom: 1rem;
  color: --text-000;
  display: flex;
  align-items: baseline;
  justify-content: center;
  flex-wrap: nowrap;
}

/* Responsive layout for the home header - left align on larger screens */
@media (min-width: 768px) {
  #home-header {
    justify-content: flex-start;
  }
}

.build-with {
  font-family: "Copernicus", sans-serif;
  white-space: nowrap;
  letter-spacing: -0.02em;
}

.claude-wordmark-wrapper {
  display: inline-flex;
  align-items: baseline;
  margin-left: 10px; /* Space between "Build with" and the wordmark */
}

.claude-wordmark {
  height: 40px; /* Adjust this value to match your desired size */
  width: auto;
  position: relative;
}

.dark #home-header {
  color: white;
}

.description-text {
  color: black;
}

.dark .description-text {
  color: white;
}

.dark .claude-wordmark {
  filter: invert(1);
}

:root {
  --bg-color: #f0efea;
}

.dark {
  --bg-color: #2b2b2b;
}

#background-div {
}

body,
input,
#category-select,
.dropdown-item,
#table-of-contents {
  font-family: "Styrene", sans-serif;
}

.eyebrow {
  font-family: "Styrene Display", sans-serif;
  text-transform: uppercase;
  letter-spacing: 0.02rem;
}

#content-container {
  font-family: "Tiempos", serif;
}

#content-container h1,
#content-container h2,
#content-container h3,
#content-container h4,
#content-container h5,
#content-container h6 {
  font-family: "Styrene Display", sans-serif;
}

#content-container p {
  font-size: 1rem;
  line-height: 1.65rem;
}

.font-extrabold {
  font-weight: 600 !important;
}

.wide-table {
  width: 100%;
  overflow-x: auto;
}

.wide-table table {
  width: 175%;
  margin-bottom: 0;
}

/* Prompt Library */
#prompt-library-container {
  margin: 4rem auto;
  max-width: 48rem;
  padding-left: 1.25rem;
  padding-right: 1.25rem;
}

.prompt-library-title {
  font-size: 24px;
  text-align: center;
  font-weight: 700;
  color: #1f2937;
}

.dark .prompt-library-title {
  color: #e5e7eb;
}

.prompt-library-description {
  margin-top: 1rem;
  text-align: center;
}

.main-content {
  margin-bottom: 10rem;
  max-width: 64rem;
  margin-left: auto;
  margin-right: auto;
  padding-left: 1.25rem;
  padding-right: 1.25rem;
}

.prompt-controllers {
  display: flex;
  gap: 0.5rem;
}

.prompt-search-container {
  position: relative;
  flex: 1 1 0%;
}

.prompt-search-icon-container {
  display: flex;
  position: absolute;
  top: 0;
  bottom: 0;
  left: 0;
  align-items: center;
  padding-left: 0.75rem;
}

.prompt-search-icon {
  margin-left: 0.25rem;
  margin-right: 0.75rem;
  flex: none;
  width: 1rem;
  height: 1rem;
  background-color: #6b7280;
  mask-image: url(https://mintlify.b-cdn.net/v6.5.1/solid/magnifying-glass.svg);
  mask-repeat: no-repeat;
  mask-position: center center;
}

input.prompt-search-bar {
  display: block;
  height: 2.5rem;
  padding-left: 2.5rem;
  border-radius: 0.75rem;
  border-width: 1px;
  background-color: #ffffff;
  width: 100%;
  color: #111827;
  box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
}

.dark input.prompt-search-bar {
  color: #ffffff;
  background-color: rgb(var(--background-dark));
  border-color: #d1d5db1a;
}

input.prompt-search-bar:focus {
  outline-color: rgb(var(--primary));
}

.dark input.prompt-search-bar:focus {
  outline-color: rgb(var(--primary-light));
}

.dark .prompt-search-icon {
  background-color: #ffffff80;
}

#category-select {
  padding-left: 1rem;
  padding-right: 2.5rem;
  height: 2.5rem;
  display: flex;
  align-items: center;
  border-radius: 0.75rem;
  border-width: 1px;
  color: #111827;
  background-color: #ffffff;
  cursor: pointer;
  box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
  white-space: nowrap;
}

.dark #category-select {
  background-color: rgb(var(--background-dark));
  border-color: #d1d5db1a;
  color: #ffffff;
}

#category-select:hover {
  background-color: #f9fafb;
}

.dark #category-select:hover {
  background-color: #ffffff0d;
}

#category-select:focus {
  outline-color: rgb(var(--primary));
}

.dark #category-select:focus {
  outline-color: rgb(var(--primary-light));
}

#categories-dropdown {
  top: calc(100% + 4px);
  padding: 0.5rem 0.5rem;
  display: none;
  position: absolute;
  z-index: 10;
  border-radius: 0.75rem;
  border-width: 1px;
  width: 100%;
  color: #111827;
  background-color: #ffffff;
  box-shadow: 0 1px 2px 0 rgba(0, 0, 0, 0.05);
}

.dark #categories-dropdown {
  background-color: rgb(var(--background-dark));
  border-color: #d1d5db1a;
  color: #ffffff;
}

#categories-dropdown-clickout {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 0;
}

.dropdown-icon-container {
  display: flex;
  position: absolute;
  top: 0;
  bottom: 0;
  right: 0;
  align-items: center;
  padding-right: 0.25rem;
}

.dropdown-icon {
  margin-left: 0.25rem;
  margin-right: 0.75rem;
  flex: none;
  width: 0.75rem;
  height: 0.75rem;
  background-color: #6b7280;
  mask-image: url(https://mintlify.b-cdn.net/v6.5.1/solid/caret-down.svg);
  mask-repeat: no-repeat;
  mask-position: center center;
}

.dark .dropdown-icon {
  background-color: #ffffff80;
}

#prompts-container {
  grid-template-columns: repeat(1, minmax(0, 1fr));
  gap: 2rem;
}

.dropdown-item {
  padding: 0.25rem 0.5rem;
  border-radius: 0.375rem;
  display: flex;
  align-items: center;
  cursor: pointer;
}

.dropdown-item:hover {
  background-color: #f9fafb;
}

.dark .dropdown-item:hover {
  background-color: #ffffff0d;
}

.check-icon {
  mask-image: url(https://mintlify.b-cdn.net/v6.5.1/solid/check.svg);
  height: 0.875rem;
  width: 1rem;
  background-color: rgb(var(--primary-light));
  mask-repeat: no-repeat;
  mask-position: center center;
}

.prompt-card {
  margin: -0.75rem;
  padding: 0.75rem;
  display: flex;
  border-radius: 1rem;
}

.prompt-card:hover {
  background-color: #03071208;
}

.dark .prompt-card:hover {
  background-color: #ffffff08;
}

.prompt-icon-container {
  display: flex;
  flex: none;
  align-items: center;
  justify-content: center;
  margin-right: 1.5rem;
  border-radius: 0.75rem;
  height: 4rem;
  width: 4rem;
  background-color: #cb785c1a;
}

.prompt-icon {
  height: 1.5rem;
  width: 1.5rem;
  background-color: rgb(var(--primary-light));
  mask-repeat: no-repeat;
  mask-position: center center;
}

.prompt-title {
  color: rgb(31 41 55);
  font-weight: 600;
}

.dark .prompt-title {
  color: rgb(229 231 235);
}

.prompt-description {
  margin-top: 0.25rem;
}

#prompts-container {
  display: grid;
  margin-top: 2.5rem;
}

@media (min-width: 640px) {
  #category-select {
    width: 16rem;
  }
}

@media (min-width: 1024px) {
  #prompts-container {
    grid-template-columns: repeat(2, minmax(0, 1fr));
  }
}

/* Home page card styling */
.home-cards-custom {
  display: grid;
  grid-template-columns: repeat(3, 1fr);
  grid-template-rows: repeat(2, auto);
  gap: 1.5rem;
}

.home-cards-custom .card {
  background: transparent;
  border: 0.5px solid hsl(var(--border-300));
  border-radius: 12px;
  padding: 0.25rem;
}

/* Responsive: change to 2 columns on tablet, single column on mobile */
@media (max-width: 1024px) {
  .home-cards-custom {
    grid-template-columns: repeat(2, 1fr);
    grid-template-rows: repeat(3, auto);
  }
}

@media (max-width: 768px) {
  .home-cards-custom {
    grid-template-columns: 1fr;
    grid-template-rows: repeat(6, auto);
  }
}

/* Utility classes */
.relative {
  position: relative;
}

.flex-1 {
  flex: 1 1 0%;
}



/* These styles mirror our design system (converted to plain CSS with Claude's help) from https://ui.product.ant.dev/button */

/* Base button styles */
.btn {
  position: relative;
  display: inline-flex;
  gap: 0.5rem;
  align-items: center;
  justify-content: center;
  flex-shrink: 0;
  min-width: 5rem;
  height: 2.25rem;
  padding: 0.5rem 1rem;
  white-space: nowrap;
  font-family: Styrene;
  font-weight: 600;
  border-radius: 0.5rem;
  &:active {
    transform: scale(0.985);
  }

  /* Size variants */
  &.size-xs {
    height: 1.75rem;
    min-width: 3.5rem;
    padding: 0 0.5rem;
    border-radius: 0.25rem;
    font-size: 0.75rem;
    gap: 0.25rem;
  }
  
  &.size-sm {
    height: 2rem;
    min-width: 4rem;
    padding: 0 0.75rem;
    border-radius: 0.375rem;
    font-size: 0.75rem;
  }

  &.size-lg {
    height: 2.75rem;
    min-width: 6rem;
    padding: 0 1.25rem;
    border-radius: 0.6rem;
  }

  &:disabled {
    pointer-events: none;
    opacity: 0.5;
    box-shadow: none;
  }

  &:focus-visible {
    outline: none;
    --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
    --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(1px + var(--tw-ring-offset-width)) var(--tw-ring-color);
    box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow);
  }

  /* Primary variant */
  &.primary {
    font-weight: 600;
    color: hsl(var(--oncolor-100));
    background-color: hsl(var(--accent-main-100));
    background-image: linear-gradient(
      to right,
      hsl(var(--accent-main-100)) 0%,
      hsl(var(--accent-main-200) / 0.5) 50%,
      hsl(var(--accent-main-200)) 100%
    );
    background-size: 200% 100%;
    background-position: 0% 0%;
    border: 0.5px solid hsl(var(--border-300) / 0.25);
    box-shadow: 
      inset 0 0.5px 0px rgba(255, 255, 0, 0.15),
      0 1px 1px rgba(0, 0, 0, 0.05);
    text-shadow: 0 1px 2px rgb(0 0 0 / 10%);
    transition: all 150ms cubic-bezier(0.4, 0, 0.2, 1);

    &:hover {
      background-position: 100% 0%;
      background-image: linear-gradient(
        to right,
        hsl(var(--accent-main-200)) 0%,
        hsl(var(--accent-main-200)) 100%
      );
    }

    &:active {
      background-color: hsl(var(--accent-main-000));
      box-shadow: inset 0 1px 6px rgba(0, 0, 0, 0.2);
      transform: scale(0.985);
    }
  }

  /* Flat variant */
  &.flat {
    font-weight: 500;
    color: hsl(var(--oncolor-100));
    background-color: hsl(var(--accent-main-100));
    transition: background-color 150ms;

    &:hover {
      background-color: hsl(var(--accent-main-200));
    }
  }

  /* Secondary variant */
  &.secondary {
    font-weight: 600;
    color: hsl(var(--text-100) / 0.9);
    background-image: radial-gradient(
      ellipse at center,
      hsl(var(--bg-500) / 0.1) 50%,
      hsl(var(--bg-500) / 0.3) 100%
    );
    border: 0.5px solid hsl(var(--border-400));
    transition: color 150ms, background-color 150ms;

    &:hover {
      color: hsl(var(--text-000));
      background-color: hsl(var(--bg-500) / 0.6);
    }

    &:active {
      background-color: hsl(var(--bg-500) / 0.5);
    }
  }

  /* Outline variant */
  &.outline {
    font-weight: 600;
    color: hsl(var(--text-200));
    background-color: transparent;
    border: 1.5px solid currentColor;
    transition: color 150ms, background-color 150ms;

    &:hover {
      color: hsl(var(--text-100));
      background-color: hsl(var(--bg-400));
      border-color: hsl(var(--bg-400));
    }
  }

  /* Ghost variant */
  &.ghost {
    color: hsl(var(--text-200));
    border-color: transparent;
    transition: color 150ms, background-color 150ms;

    &:hover {
      color: hsl(var(--text-100));
      background-color: hsl(var(--bg-500) / 0.4);
    }

    &:active {
      background-color: hsl(var(--bg-400));
    }
  }

  /* Underline variant */
  &.underline {
    opacity: 0.8;
    text-decoration-line: none;
    text-underline-offset: 3px;
    transition: all 150ms;

    &:hover {
      opacity: 1;
      text-decoration-line: underline;
    }

    &:active {
      transform: scale(0.985);
    }
  }

  /* Danger variant */
  &.danger {
    font-weight: 600;
    color: hsl(var(--oncolor-100));
    background-color: hsl(var(--danger-100));
    transition: background-color 150ms;

    &:hover {
      background-color: hsl(var(--danger-200));
    }
  }
}


'use client'

const styles = `
@font-face {
  font-family: 'Styrene';
  src: url('/fonts/Styrene_B_Family/StyreneB-Medium-Trial.otf') format('opentype');
  font-weight: medium;
  font-style: normal;
}

@font-face {
  font-family: 'Styrene';
  src: url('/fonts/Styrene_B_Family/StyreneB-Regular-Trial.otf') format('opentype');
  font-weight: normal;
  font-style: normal;
}

@font-face {
  font-family: 'Tiempos';
  src: url('/fonts/Tiempos_Text/test-tiempos-text-regular.woff2') format('woff2');
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    // Initialize the UI components
    Inkeep.ModalSearchAndChat(settings); // Search Bar
    Inkeep.ChatButton(settings); // 'Ask AI' button
  }
);


MCPでの構築

MCPコネクタ

Claude CodeでのMCP

Model Context Protocol (MCP)

Anthropic

Send a structured list of input messages with text and/or image content, and the model will generate the next message in the conversation.

The Messages API can be used for either single queries or stateless multi-turn conversations.

Learn more about the Messages API in our [user guide](/en/docs/initial-setup)

Messages

Protocole de Contexte de Modèle (MCP)

Nachrichten

Messaggi

メッセージ

Protocolo de Contexto de Modelo (MCP)

Mensajes

메시지

模型上下文协议 (MCP)

消息

模型上下文協議 (MCP)

訊息

Сообщения

Pesan

Mensagens

Claude is a highly performant, trustworthy, and intelligent AI platform built by Anthropic. Claude excels at tasks involving language, reasoning, analysis, coding, and more.

Intro to Claude

Let's learn how to use the Anthropic API to build with Claude.

Get started

Get started with Claude

Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces our models and compares their performance with legacy models. 

Models overview

Selecting the optimal Claude model for your application involves balancing three key considerations: capabilities, speed, and cost. This guide helps you make an informed decision based on your specific requirements.

Choosing a model

Choosing the right model

Migrating to Claude 4

Model deprecations

Learn about Anthropic's pricing structure for models and features

Pricing

Claude is a family of [highly performant and intelligent AI models](/en/docs/about-claude/models) built by Anthropic. While Claude is powerful and extensible, it's also the most trustworthy and reliable AI available. It follows critical protocols, makes fewer mistakes, and is resistant to jailbreaks—allowing [enterprise customers](https://www.anthropic.com/customers) to build the safest AI-powered applications at scale.

Building with Claude

Overview

Guides to common use cases

This guide walks through how to harness Claude's advanced natural language understanding capabilities to classify customer support tickets at scale based on customer intent, urgency, prioritization, customer profile, and more.

Ticket routing

This guide walks through how to leverage Claude's advanced conversational capabilities to handle customer inquiries in real time, providing 24/7 support, reducing wait times, and managing high support volumes with accurate responses and positive interactions.

Customer support agent

Content moderation is a critical aspect of maintaining a safe, respectful, and productive environment in digital applications. In this guide, we'll discuss how Claude can be used to moderate content within your digital application.

Content moderation

This guide walks through how to leverage Claude's advanced natural language processing capabilities to efficiently summarize legal documents, extracting key information and expediting legal research. With Claude, you can streamline the review of contracts, litigation prep, and regulatory work, saving time and ensuring accuracy in your legal processes.

Legal summarization

Context windows

These concepts are not unique to Anthropic’s language models, but we present a brief summary of key terms below.

Glossary

Prompt engineering overview

Claude 4 best practices

Claude 4 prompt engineering best practices

Prompt generator

Automatically generate first draft prompt templates

Use prompt templates

Use prompt templates and variables

Prompt improver

Use our prompt improver to optimize your prompts

Be clear and direct

Be clear, direct, and detailed

Use examples (multishot prompting)

Use examples (multishot prompting) to guide Claude's behavior

Let Claude think (CoT)

Let Claude think (chain of thought prompting) to increase performance

Use XML tags

Use XML tags to structure your prompts

Give Claude a role (system prompts)

Giving Claude a role with a system prompt

Prefill Claude's response

Prefill Claude's response for greater output control

Chain complex prompts

Chain complex prompts for stronger performance

Long context tips

Long context prompting tips

Extended thinking tips

Explore Claude's advanced features and capabilities.

Features overview

Prompt caching

Extended thinking

Building with extended thinking

Streaming Messages

Batch processing

Citations

Claude excels at tasks across multiple languages, maintaining strong cross-lingual performance relative to English.

Multilingual support

Token counting

Text embeddings are numerical representations of text that enable measuring semantic similarity. This guide introduces embeddings, their applications, and how to use embedding models for tasks like search, recommendations, and anomaly detection.

Embeddings

The Claude 3 and 4 families of models comes with new vision capabilities that allow Claude to understand and analyze images, opening up exciting possibilities for multimodal interaction.

Vision

Process PDFs with Claude. Extract text, analyze charts, and understand visual content from your documents.

PDF support

Files API (beta)

Files API

Tool use with Claude

How to implement tool use

Token-efficient tool use (beta)

MCP overview

MCP connector (beta)

MCP connector

Remote MCP servers

Computer use (beta)

The [Claude for Sheets extension](https://workspace.google.com/marketplace/app/claude%5Ffor%5Fsheets/909417792257) integrates Claude into Google Sheets, allowing you to execute interactions with Claude directly in cells.

Google Sheets add-on

Define success criteria

Define your success criteria

Develop test cases

Create strong empirical evaluations

Reduce hallucinations

Increase output consistency

Increase output consistency (JSON mode)

Mitigate jailbreaks

Mitigate jailbreaks and prompt injections

Streaming refusals

Reduce prompt leak

Keep Claude in character

Keep Claude in character with role prompting and prefilling

Reducing latency

The [Anthropic Console](https://console.anthropic.com/dashboard) features an **Evaluation tool** that allows you to test your prompts under various scenarios.

Using the Evaluation Tool

Anthropic Privacy Policy

Security and compliance

When making API requests, you must send an `anthropic-version` request header. For example, `anthropic-version: 2023-06-01`. If you are using our [client libraries](/en/api/client-libraries), this is handled for you automatically.

Versions

To mitigate misuse and manage capacity on our API, we have implemented limits on how much an organization can use the Claude API.

Rate limits

Different tiers of service allow you to balance availability, performance, and predictable costs based on your application's needs.

Service tiers

Documentation for using beta headers with the Anthropic API

Beta headers

Errors

Handling stop reasons

Count the number of tokens in a Message.

The Token Count API can be used to count the number of tokens in a Message, including tools, images, and documents, without creating it.

Learn more about token counting in our [user guide](/en/docs/build-with-claude/token-counting)

Count Message tokens

List available models.

The Models API response can be used to determine which models are available for use in the API. More recently released models are listed first.

List Models

Get a specific model.

The Models API response can be used to determine information about a specific model or resolve a model alias to a model ID.

Get a Model

Send a batch of Message creation requests.

The Message Batches API can be used to process multiple Messages API requests at once. Once a Message Batch is created, it begins processing immediately. Batches can take up to 24 hours to complete.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

Create a Message Batch

This endpoint is idempotent and can be used to poll for Message Batch completion. To access the results of a Message Batch, make a request to the `results_url` field in the response.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

Retrieve a Message Batch

Streams the results of a Message Batch as a `.jsonl` file.

Each line in the file is a JSON object containing the result of a single request in the Message Batch. Results are not guaranteed to be in the same order as requests. Use the `custom_id` field to match results to requests.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

Retrieve Message Batch Results

List all Message Batches within a Workspace. Most recently created batches are returned first.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

List Message Batches

Batches may be canceled any time before processing ends. Once cancellation is initiated, the batch enters a `canceling` state, at which time the system may complete any in-progress, non-interruptible requests before finalizing cancellation.

The number of canceled requests is specified in `request_counts`. To determine which requests were canceled, check the individual results within the batch. Note that cancellation may not result in any canceled requests if they were non-interruptible.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

Cancel a Message Batch

Delete a Message Batch.

Message Batches can only be deleted once they've finished processing. If you'd like to delete an in-progress batch, you must first cancel it.

Learn more about the Message Batches API in our [user guide](/en/docs/build-with-claude/batch-processing)

Delete a Message Batch

Create a File

List Files

Get File Metadata

Download the contents of a Claude generated file

Download a File

Delete a File

Migrating from Text Completions to Messages

Migrating from Text Completions

[Legacy] Create a Text Completion.

The Text Completions API is a legacy API. We recommend using the [Messages API](https://docs.anthropic.com/en/api/messages) going forward.

Future models and features will not be compatible with Text Completions. See our [migration guide](https://docs.anthropic.com/en/api/migrating-from-text-completions-to-messages) for guidance in migrating from Text Completions to Messages.

Create a Text Completion

Streaming Text Completions

Prompt validation

We provide client libraries in a number of popular languages that make it easier to work with the Anthropic API.

Client SDKs

Anthropic provides a compatibility layer that enables you to use the OpenAI SDK to test the Anthropic API. With a few code changes, you can quickly evaluate Anthropic model capabilities.

OpenAI SDK compatibility (beta)

Request and response examples for the Messages API

Messages examples

Example usage for the Message Batches API

Message Batches examples

Anthropic's Claude models are now generally available through Amazon Bedrock.

Amazon Bedrock API

Anthropic's Claude models are now generally available through [Vertex AI](https://cloud.google.com/vertex-ai).

Vertex AI API

Anthropic services live at a fixed range of IP addresses. You can add these to your firewall to open the minimum amount of surface area for egress traffic when accessing the Anthropic API and Console. These ranges will not change without notice.

IP addresses

Here are the countries, regions, and territories we can currently support access from:

Supported regions

Using the Admin API

We've tried to provide the answers to the most common questions in these docs. However, if you need further technical support using Claude, the Anthropic API, or any of our products, you may reach our support team at [support.anthropic.com](https://support.anthropic.com).

Getting help

Learn about Claude Code, an agentic coding tool made by Anthropic.

Claude Code overview

Learn how to install, authenticate, and start using Claude Code.

Getting started

Getting started with Claude Code

Explore Claude Code's powerful features for editing, searching, testing, and automating your development workflow.

Common tasks

Core tasks and workflows

Learn how to use Claude Code from the command line, including CLI commands, flags, and slash commands.

CLI usage

CLI usage and controls

Integrate Claude Code with your favorite development environments

IDE integrations

Learn how to manage Claude Code's memory across sessions with different memory locations and best practices.

Model Context Protocol (MCP)

MCPでの構築

MCPドキュメント

MCPコネクタ

MCPコネクタドキュメント

Claude CodeでのMCP

Claude CodeでのMCP

​MCPでの構築

MCPドキュメント

​MCPコネクタ

MCPコネクタドキュメント

​Claude CodeでのMCP

Claude CodeでのMCP

MCPでの構築

MCPコネクタ

Claude CodeでのMCP